The graph represents a network of 1,720 Twitter users whose recent tweets contained "InsurTech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 13:27 UTC.
The tweets in the network were tweeted over the 2031-day, 0-hour, 40-minute period from Thursday, 20 July 2017 at 00:19 UTC to Friday, 10 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 1720
Unique Edges : 2009
Edges With Duplicates : 10585
Total Edges : 12594
Number of Edge Types : 8
Retweet : 2861
MentionsInRetweet : 4443
Mentions : 3938
Tweet : 997
MentionsInReplyTo : 160
Replies to : 102
MentionsInQuote : 71
Quote : 22
Self-Loops : 2897
Reciprocated Vertex Pair Ratio : 0.062137797810689
Reciprocated Edge Ratio : 0.11700515307669
Connected Components : 290
Single-Vertex Connected Components : 183
Maximum Vertices in a Connected Component : 1202
Maximum Edges in a Connected Component : 11826
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.60842
Graph Density : 0.00111577850832691
Modularity : 0.203723
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,720 Twitter users whose recent tweets contained "InsurTech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 13:27 UTC.
The tweets in the network were tweeted over the 2031-day, 0-hour, 40-minute period from Thursday, 20 July 2017 at 00:19 UTC to Friday, 10 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : InsurTech
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1446] #healthtech,#smartcity [1446] #csuite,#digitalhealth [1445] #digitalhealth,#web3 [1444] #smartcity,#5g [1444] #web3,#cx [1443] #datascientist,#csuite [1442] #cx,#ehealth [1441] #5g,#datascientist [1436] #vive2023,#healthtech [873] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[227] enricomolinari,#marketing [151] #fintech,#finserv [116] #finserv,#insurtech [106] #fintech,#insurtech [95] #ehealth,#finserv [92] bcc_council,enricomolinari [92] #marketing,#payments [92] #payments,#ehealth [86] #finserv,#fintech [84] #marketing,#fintech Top Word Pairs in Tweet in G2:
[1430] #csuite,#digitalhealth [1430] #healthtech,#smartcity [1429] #smartcity,#5g [1429] #digitalhealth,#web3 [1428] #web3,#cx [1427] #datascientist,#csuite [1426] #cx,#ehealth [1426] #5g,#datascientist [1422] #vive2023,#healthtech [859] chidambara09,#vive2023 Top Word Pairs in Tweet in G3:
[16] saas,insurtech [16] virtual,sales [16] insurtech,hcm [16] sales,saas [15] manager,partner [15] success,virtual [15] account,manager [15] partner,success [9] learn,more [8] eye,security Top Word Pairs in Tweet in G4:
[7] #fintech,#insurtech [6] tech,startups [6] 2023,packed [6] innovation,ready [6] insurance,tech [6] insurtech,companies [6] product,market [6] market,fit [6] packed,innovation [6] dsla,2023 Top Word Pairs in Tweet in G5:
[229] #cryptocurrencies,#machinelearning [210] #machinelearning,#ai [178] #ai,#python [154] #python,#deeplearning [133] #deeplearning,#100daysofcode [132] #cybersecurite,#insurtech [132] #100daysofcode,#fintech [132] #bitcoin,#cybersecurity [132] #cybersecurity,#cybersecurite [132] #fintech,#nocode Top Word Pairs in Tweet in G6:
[26] #insurance,#technology [26] #insurtech,#insurance [24] mandalore_minh,seedfounders [12] seedfounders,minh_q_tran [12] seedfounders,insurtech_cap [10] #technology,#finance [9] free,#insurtech [9] #insurtech,#webinar [8] majesco_inc,free [8] #technology,#innovation Top Word Pairs in Tweet in G7:
[21] #insurance,#insurtech [16] daily,thanks [13] insurance,daily [9] life,insurance [9] #insurtech,#insurance [5] latest,retirement [5] retirement,life [5] reinsurance,thanks [4] insurance,guy [4] applied,financial Top Word Pairs in Tweet in G8:
[18] #insurance,#innovation [18] #innovation,#insurtech [7] steinberg,co [7] jeremy,steinberg [7] venons,lancer [7] ceo,flitterfr [7] première,assurance [7] lancer,première [7] l'interview,jeremy [7] fondateur,ceo Top Word Pairs in Tweet in G9:
[8] #insurance,platform [7] day,day [6] months,sometimes [6] #javascript,#reactjs [6] pay,way [6] #iiot,#pytorch [6] #insurance,companies [6] companies,pay [6] strikes,take [6] #reactjs,#wordpress Top Word Pairs in Tweet in G10:
[4] isle,man [3] riddler,coffee [3] support,insurers [3] woes,tractable_ai [3] initiatives,insurance [3] cover,product [3] problems,securing [3] changing,climate [3] drivers,convictions [3] securing,cover Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: